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Posted to dev@toree.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/04/20 03:44:00 UTC
[jira] [Commented] (TOREE-470) Add option to disable SparkContext
lazy initialization
[ https://issues.apache.org/jira/browse/TOREE-470?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16445250#comment-16445250 ]
ASF GitHub Bot commented on TOREE-470:
--------------------------------------
GitHub user lresende opened a pull request:
https://github.com/apache/incubator-toree/pull/154
[TOREE-470] Config option do control SparkContext initialization
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lresende/incubator-toree toree-470-config-lazy-context-init
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-toree/pull/154.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #154
----
commit 5f4d77aa434db464ee630befe4342c65af6b0149
Author: Luciano Resende <lr...@...>
Date: 2018-04-19T19:23:58Z
[TOREE-471] Fix typo in command line configuration option
Fix typo in spark_context_intialization_timeout config option
spark_context_intialization_timeout => spark_context_initialization_timeout
commit 5e835a518b86b5663aaef616c24bccf996194835
Author: Luciano Resende <lr...@...>
Date: 2018-04-20T03:12:59Z
[TOREE-470] Config option do control SparkContext initialization
--spark-context-initialization-mode eager (disable lazy initialization)
--spark-context-initialization-mode lazy (default, enable lazy initialization)
----
> Add option to disable SparkContext lazy initialization
> ------------------------------------------------------
>
> Key: TOREE-470
> URL: https://issues.apache.org/jira/browse/TOREE-470
> Project: TOREE
> Issue Type: Improvement
> Components: Kernel
> Affects Versions: 0.2.0
> Reporter: Luciano Resende
> Assignee: Luciano Resende
> Priority: Critical
>
> We are looking into a scenario where we need to disable the lazy initialization of SparkContext and a startup parameter or some sort of configuration might be helpful on this case.
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